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Venkat Suprabath Bitra

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vsb2127@columbia.edu
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  • 🥈 ETHIndia 2022, [1] - Dec, 2022
  • 🥈 Inclusive STEM Hackathon, - Oct, 2020
  • Dean's Merit List Scholarship, [1] [2] [3] - for Academic Years 2019-2024
  • National Merit Scholarship, - for Academic Year 2023-24

2024

SemUV: Deep Learning based semantic manipulation over UV texture map of virtual human heads
Anirban Mukherjee, Venkat Suprabath Bitra, Vignesh Bondugula, Tarun Reddy Tallapureddy, Dinesh Babu Jayagopi
9th International Conference on Computer Vision & Image Processing (CVIP 2024), December 2024.
arXiV Paper
TinyML-Raman: A novel IoT based field-deployable spectra analysis for accurate identification of pharmaceuticals and trace dye-pesticide mixtures from facile SERS method
Venkat Suprabath Bitra, Shweta Verma, B. Tirumala Rao
Analytica Chimica Acta, Volume 1322, 2024, 343063, ISSN 0003-2670
Paper

2023

Optical response of Au films for reproducible Si nano-structuring and its application for efficient micro-drop SERS with portable Raman system
Shweta Verma, Venkat Suprabath Bitra, R. Singh, B. Tirumala Rao
Materials Chemistry and Physics, Volume 306, 2023, 128058, ISSN 0254-0584, September 2023.
Paper
Machine Learning and Convolutional Neural Network based Trace Identification of Pesticides and Dye Mixtures from Raman Spectra
Venkat Suprabath Bitra, Shweta Verma, B. Tirumala Rao
6th Joint International Conference on Data Science & Management of Data (CODS-COMAD 2023), January 2023.
Paper Poster

2022

Software for Comprehensive Batch Analysis of Raman/SERS Spectra with Real-time Interactive Visualization and Machine Learning Predictions
Venkat Suprabath Bitra
Oral Presentation in IX International Conference on Perspectives in Vibrational Spectroscopy (ICOPVS-2022), December 2022.
Extended Abstract
Indigenous development of automated cost-effective system for SERS measurements with data analysis and compound prediction
Shweta Verma, Venkat Suprabath Bitra, B. Tirumala Rao
Oral Presentation in IX International Conference on Perspectives in Vibrational Spectroscopy (ICOPVS-2022), December 2022.
Extended Abstract

2021

An Interactive Simulator for COVID-19 Trend Analysis
Jayati Deshmukh, Raksha Pavagada Subbanarasimha, Pooja Bassin, Venkat Suprabath Bitra, Srinath Srinivasa, and Anupama Sharma
3th Joint International Conference on Data Science & Management of Data (CODS-COMAD 2021), January 2021.
Paper

Mentorship

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